An agent proposed and profiled its own kernel optimisations to a 10x faster kernel

Agent autonomously proposed and tested CUDA kernel optimizations and profiled them with Nsight by itself, ending with a kernel an order of magnitude faster.

How it works

The agent autonomously proposes kernel optimizations
Tests them
Profiles them with the vendor tool by itself
Ends with a kernel an order of magnitude faster

Why it’s worth knowing

Propose, measure, keep the winner: the loop ran itself.

Where it’s from

Summarized from a public post on news.ycombinator.com. See the original ↗

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